Now showing items 1-4 of 4

  • Fuzzy Grammatical Inference Using Neural Network 

    Blanco Morón, Armando; Delgado, A.; Pegalajar Jiménez, Mª Carmen (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1998)
    Article
    Open Access
    We have shown a model of fuzzy neural network that is able to infer the relations associated to the transitions of a fuzzy automaton from a fuzzy examples set. Neural network is trainned by a backpropagation of error based ...
  • Max-Min fuzzy neural networks for solving relational equations 

    Blanco Morón, Armando; Delgado Calvo-Flores, Miguel; Requena Ramos, Ignacio (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1994)
    Article
    Open Access
    The Relational Equations approach is one of the most usual ones for describing (Fuzzy) Systems and in most cases, it is the final expression for other descriptions. This is why the identification of Relational Equations ...
  • Neural methods for obtaining fuzzy rules 

    Benítez Sánchez, José Manuel; Blanco Morón, Armando; Delgado Calvo-Flores, Miguel; Requena Ramos, Ignacio (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1996)
    Article
    Open Access
    In previous papers, we presented an empirical methodology based on Neural Networks for obtaining fuzzy rules which allow a system to be described, using a set of examples with the corresponding inputs and outputs. Now ...
  • New aspects on extraction of fuzzy rules using neural networks 

    Benítez Sánchez, José Manuel; Blanco Morón, Armando; Delgado Calvo-Flores, Miguel; Requena Ramos, Ignacio (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1998)
    Article
    Open Access
    In previous works, we have presented two methodologies to obtain fuzzy rules in order to describe the behaviour of a system. We have used Artificial Neural Netorks (ANN) with the {\it Backpropagation} algorithm, and a set ...